Triple
T9219795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الجامع الصحيح |
E221332
|
entity |
| Predicate | يحتوي_على |
P1393
|
FINISHED |
| Object | أحاديث مرفوعة إلى النبي محمد صلى الله عليه وسلم |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: أحاديث مرفوعة إلى النبي محمد صلى الله عليه وسلم | Statement: [الجامع الصحيح, يحتوي_على, أحاديث مرفوعة إلى النبي محمد صلى الله عليه وسلم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يحتوي_على Context triple: [الجامع الصحيح, يحتوي_على, أحاديث مرفوعة إلى النبي محمد صلى الله عليه وسلم]
-
A.
containedWith
Indicates that one entity is located or kept inside the bounds or interior space of another entity.
-
B.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
D.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
E.
alsoContains
Indicates that something includes, in addition to its primary contents, another specified element or component.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda74808081908d4bf890759e7120 |
completed | April 1, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:28 p.m.